36 results about "Depth conversion" patented technology

This disclosure relates to the field of seismic exploration technology, and particularly to a method and apparatus for automatically acquiring reflection travel time for layer-by-layer tomographic velocity modeling. The method includes: acquiring a seismic time-averaged velocity function constructed from raw seismic data and a well-logging time-averaged velocity function constructed from raw well-logging data; calibrating the seismic time-averaged velocity function using the initial seismic average velocity and well-logging average velocity to obtain a calibrated seismic average velocity model; performing time-depth conversion using the calibrated seismic average velocity model to obtain calibrated depth-domain interpretation horizons; performing stacking velocity inversion layer by layer on the calibrated depth-domain horizons to obtain optimized depth-domain layer velocities; obtaining observation travel time using the stacking velocity as a criterion; and performing tomographic inversion using the calibrated depth-domain interpretation horizons, optimized depth-domain layer velocities, observation travel time, and CMP observation system to construct a depth-domain layer velocity model.

The invention discloses a gas reservoir three-dimensional geological modeling method and system and a medium. The method comprises the following steps: acquiring multi-source data of a target work area; in combination with vertical seismic section data and virtual well data, depth correction is performed on the horizon after time-depth conversion, and a three-dimensional tectonic framework model is established based on the corrected horizon and fault data; fusing and generating a sand body space development probability trend body based on the seismic attribute body, the seismic inversion body and the determined optimal weight coefficients of the seismic attribute body and the seismic inversion body; a three-dimensional tectonic framework model is used as a space framework, a sand body space development probability trend body is used as a transverse soft constraint, a plurality of isoprobable lithofacies model initial implementation is established, and a three-dimensional lithofacies model is obtained; a three-dimensional distribution model of reservoir physical property parameters is generated; and importing the three-dimensional lithofacies model and the three-dimensional distribution model into a numerical simulator, performing historical fitting by using gas reservoir dynamic production data, analyzing fitting differences, and performing iterative modeling to obtain a high-precision and low-uncertainty three-dimensional gas reservoir geologic model.

The invention relates to a decompaction correction method, and belongs to the technical field of seismic exploration. According to the decompaction correction method, stratums where typical wells are located in a target work area are classified through quantitative standards, then the corresponding relation between wave impedance and time of various stratums in the target work area is obtained through fitting and time-depth conversion, and then wave impedance data volumes of all positions in the target work area are obtained; and making a difference between the post-stack wave impedance inversion data volume and the wave impedance data volume of the target work area to obtain a decompacted wave impedance data volume. According to the decompaction correction method, the situation that the deep wave impedance is all large can be relieved, the reservoir thickness predicted by adopting the wave impedance data body subjected to decompaction treatment is more consistent with the geological condition, and the plane section prediction effect of the deep reservoir is effectively improved.

The application provides an underground pipeline depth ultrasonic detection method based on multi-channel echo cooperative fusion, which comprises the following steps: acquiring a digital echo sequence through an array probe formed by a multi-channel ultrasonic transducer; sequentially implementing cascade sliding mean denoising, Hilbert transform envelope extraction and adaptive threshold detection based on noise bottom layer statistics to identify and retain candidate pipeline reflection peak points; according to the corresponding transit time and medium sound velocity of the candidate reflection peak points corresponding to each channel, calculating the initial depth estimation value corresponding to each channel through time-depth conversion, and taking the echo signal-to-noise ratio corresponding to each candidate reflection peak point as a quality index; performing neighborhood clustering with a preset depth tolerance as a constraint, selecting an effective depth cluster, and obtaining the final pipeline depth through weighted average of the echo signal-to-noise ratios of each member in the effective depth cluster after effectiveness determination. The application improves the measurement accuracy of the depth in a multi-channel redundant mutual checking mode.

The application discloses a simulation method for quantitatively predicting gas seepage and crater formation evolution process in a hydrate area and related equipment, and the method comprises the following steps: obtaining three-dimensional seismic data of a target area, and obtaining thickness data through layer velocity modeling and time-depth conversion; based on the thickness data and pre-acquired physical parameters, a first quantitative relationship between gas column growth rate and seepage velocity is quantified by using Darcy's law; based on the first quantitative relationship, a second quantitative relationship of gas migration time is obtained through integral method processing; the first quantitative relationship and the critical condition of quicksand are solved together to obtain a third quantitative relationship of crater depth, and then a crater space form constraint is constructed; and based on the crater space form constraint and the pre-acquired average methane flux, the total methane flux of the target area is simulated. The application can realize physical constraint quantitative prediction of deep fluid seepage process and crater formation evolution, and can be widely applied to the technical field of data processing.

The invention belongs to the technical field of deep learning and geophysical exploration, and relates to a ground penetrating radar underground water content detection data inversion method based on a U-Net neural network, which comprises the steps of model construction, data simulation and processing, time-depth conversion and propagation time calculation, data and model alignment, water content prediction and network structure inversion. According to the ground penetrating radar data nonlinear inversion method based on the U-Net deep neural network, accurate prediction of the underground water content is successfully realized; according to the method, through high-simulation electromagnetic wave propagation simulation, strict data preprocessing and fine model structure design and training configuration, the limitation of a traditional method in complex nonlinear underground environment analysis is effectively overcome; experimental results show that the method has high prediction precision and stability and is suitable for wide engineering application; in future research, more complex geological models and application of real scene data are explored, and the practicability and generalization performance of the models are further improved.

The invention discloses a method, a device and equipment for evaluating sand breaking coupling lateral oil-gas shunting capacity. The method comprises the following steps: obtaining sand body space distribution characteristics according to three-dimensional seismic data and drilled data of a research area; performing horizon interpretation and fault interpretation by using the three-dimensional seismic data, performing time-depth conversion on the horizon data of the target reservoir and the fault data of the target oil source fracture, and constructing a depth domain three-dimensional geologic model and a three-dimensional attribute model with preset attributes by combining the sand body space distribution characteristics and the drilled data; based on the depth domain three-dimensional geologic model, obtaining a fault dip angle, fault shale content, sand body thickness and a sand body dip angle at the fault sand coupling measuring point; according to a three-dimensional attribute model with preset attributes, obtaining the shale content, the porosity and the permeability of the sand body at the broken sand coupling measuring point; and calculating to obtain the evaluation parameters of the broken sand coupling oil-gas lateral shunting capacity at each broken sand coupling measuring point, and determining the broken sand coupling oil-gas lateral shunting capacity at the broken sand coupling measuring point.

This invention discloses a method and apparatus for predicting multiples in seabed node multi-component data. The method includes: obtaining a migration data volume using Kirchhoff pre-stack time migration based on the P-wave component data of the seabed node; constructing a seabed depth model based on interactive picking and time-depth conversion using the migration data volume; acquiring multiple seabed sample points based on the seabed depth model; determining the seabed reflection travel time and distance spread based on the multiple seabed sample points; and predicting multiples in the seabed based on the component data of the seabed node, the seabed reflection travel time, and the distance spread. This method effectively solves the problem that existing SRME methods cannot predict multiples in OBN converted wave data, and can significantly improve the multiple suppression effect of OBN data. Furthermore, it is adaptable to arbitrary water depths and rugged seabed areas, significantly improving the accuracy of multiple prediction.

The application discloses a kind of longitudinal transverse wave matching processing method, device, computing device and storage medium, the method includes: obtaining longitudinal wave depth domain achievement data and converted wave depth domain achievement data;The horizon interpretation is carried out to longitudinal wave depth domain achievement data, and longitudinal wave horizon interpretation result is obtained;The horizon interpretation is carried out to converted wave depth domain achievement data, and converted wave horizon interpretation result is obtained;Longitudinal wave horizon interpretation result and converted wave horizon interpretation result are stacked according to horizon, and the longitudinal transverse wave matching result in depth domain is obtained;The conversion processing is carried out to the longitudinal transverse wave matching result in depth domain, and the longitudinal transverse wave matching result in time domain is obtained.By the above manner, longitudinal transverse wave matching processing is directly carried out in depth domain, after completing the longitudinal transverse wave matching processing in depth domain, time-depth conversion processing is carried out, longitudinal transverse wave matching achievement in depth domain is converted into longitudinal transverse wave matching achievement in time domain, and the efficiency and accuracy of longitudinal transverse wave matching processing can be improved.

The present application relates to the technical field of geophysical exploration and marine engineering geological survey, and provides a time-depth conversion method and system for offshore seismic acquisition imaging. The time-depth conversion method for offshore seismic acquisition imaging comprises synchronously acquiring seismic data of a submarine tunnel line position and preprocessing the seismic data; based on the preprocessed seismic data, combining regional geological priori and drilling data, a multi-scale velocity field combining a macroscopic layered velocity model and a microscopic lateral variable velocity model is constructed; based on the multi-scale velocity field, a time domain seismic profile is converted into a seismic depth domain profile; transient electromagnetic apparent resistivity data are introduced to calculate corrected seismic velocity and thereby re-perform time-depth conversion to obtain seismic depth domain profile imaging; combining a complex spectrum correction method and a drilling data error verification method, the seismic depth domain profile imaging is optimized. The present application can realize efficient and accurate time-depth conversion of offshore complex geological structures and adverse geological bodies.

The invention belongs to the technical field of geophysical exploration, and particularly discloses a phase-control three-dimensional high-precision velocity field modeling method, equipment and a medium. The method disclosed by the invention comprises the following steps: firstly, collecting logging information, standardizing an interval transit time curve, carrying out fine synthetic record calibration, and determining a time-depth relationship; then, a BP neural network technology is utilized to predict a relative thickness map of a target layer sand body in the research area; then, establishing an initial three-dimensional interval velocity model based on the relative thickness map of the sand body; then, calculating each well velocity correction factor, and correcting the initial three-dimensional interval velocity model; and finally, calculating a target layer top velocity reference surface to obtain a phase-controlled three-dimensional high-precision velocity field model, and realizing accurate time-depth conversion of seismic data. The precision of the inter-well tectonic depth of the top boundary of the target layer series can be improved, and the accuracy of the tectonic horizon of the depth domain of the well extrapolation area can also be improved. The method can be widely applied to velocity field modeling of geophysical exploration.

The invention relates to the technical field of oil field development, in particular to a high-precision three-dimensional velocity field establishment method and device, equipment and a medium, and the method comprises the steps: obtaining a time domain structure interpretation result according to the corresponding relation between an earthquake and a geologic horizon, and obtaining a high-precision three-dimensional velocity field according to time domain geologic stratified data by taking the time domain structure interpretation result as a constraint; establishing a time domain three-dimensional construction model; obtaining a depth domain structure interpretation result through time-depth conversion, and building a depth domain three-dimensional structure model by taking the depth domain structure interpretation result as a constraint according to the depth domain geological stratified data; according to the three-dimensional structure model, the layer velocity of seismic waves propagating in the geologic horizon is determined, and according to the layer velocity, a three-dimensional space velocity field is established by adopting a stacked velocity field modeling method. The problems that an existing velocity field establishing method is large in longitudinal error, the geologic body layer penetrating phenomenon is prone to occurring, and the requirements for three-dimensional seismic information body high-precision time-depth conversion and small-layer-scale well-seismic combined reservoir characterization cannot be met are solved.

The invention discloses a method, a device and equipment for evaluating the oil-gas vertical sealing capability of a fault-damaged cover strata, and the method comprises the steps: carrying out the horizon interpretation and fault interpretation according to the three-dimensional seismic data and the drilled data of a research area; performing time-depth conversion on the obtained horizon data of the target reservoir and the cover layer and the fault data of the target oil source fracture, and constructing a depth domain three-dimensional geologic model and a shale content model in combination with drilled data; determining the compaction diagenesis starting time of fault rocks; determining a fault inclination angle at each preset measuring point, a current burial depth of a position where a cover layer is broken by a fault and a current burial depth of a target reservoir; the surrounding rock deposition time of the target reservoir is determined; the fault rock compaction diagenesis depth is determined; reading the shale content of the target reservoir and the shale content of the fault at each preset measuring point; target reservoir displacement pressure values and fault rock displacement pressure values at the corresponding measuring points are obtained through calculation; and determining an oil-gas vertical sealing capability evaluation result of the cover layer damaged by the fault at the corresponding preset measuring point.

The invention relates to the field of oil-gas exploration, and provides a method and a system for predicting a heterogeneous deepwater ultra-shallow gas layer and an associated thin hydrate layer. The method comprises the following steps: performing lithofacies division on a stratum through logging data to obtain a lithofacies identification result; performing time-depth conversion on the lithofacies identification result by using the acoustic logging data to obtain time domain lithofacies data; performing horizon interpretation on the seismic data, and constructing a stratigraphic framework model; performing lithofacies proportion statistics on the time domain lithofacies data in the stratigraphic framework model to obtain a lithofacies stratigraphic model; taking the lithofacies stratigraphic model as a constraint condition, and introducing the lithofacies stratigraphic model into a statistical inversion algorithm for inversion processing to obtain a longitudinal wave impedance data volume and a lithofacies data volume; and interpreting and analyzing the stratum by combining the longitudinal wave impedance data body and the lithofacies data body to obtain a spatial distribution prediction result of the heterogeneity deepwater ultra-shallow gas layer and the thin hydrate layer. According to the method, the interpretation rationality of the ultra-shallow gas layer with high heterogeneity in spatial distribution is improved.

This invention discloses a velocity field correction method, apparatus, device, and medium, comprising: determining the initial velocity field of the area to be drilled based on target data of the area; when a new first completed well appears in the area, performing time-depth conversion on the initial velocity field to obtain an initial structural map; correcting the initial structural map based on key point data of the first completed well to obtain a corrected target structural map; determining the velocity correction amount corresponding to each stratum based on the differences between the target structural map and the initial structural map, and the time horizon of each stratum in the target structural map or the initial structural map; and correcting the initial velocity field based on the velocity correction amount corresponding to each stratum to obtain the corrected target velocity field. This invention eliminates well-seismic errors, improves the accuracy of time-depth conversion, and thus obtains high-precision depth-domain seismic data.

The invention discloses a time migration method for a three-dimensional pre-stack wave equation in an imaging ray domain, which relates to the technical field of exploration geophysics and comprises the following steps of: deducing a bidirectional acoustic wave equation in an imaging ray coordinate system based on a Riemann wave field extrapolation theory in a three-dimensional semi-orthogonal coordinate system; an equation is directly solved by adopting a finite difference method, extrapolation of a seismic source and a receiving end wave field is achieved, and errors caused by Green function approximation in a traditional migration method are avoided; and generating a pre-stack time migration result by applying a zero-lag cross-correlation imaging condition. Through first-order linear disturbance approximation, an accurate three-dimensional time-depth conversion partial differential equation set is simplified into an optimized layer stripping algorithm, and a corresponding equation suitable for a weak transverse velocity change medium is deduced. According to the invention, the working process of three-dimensional wave equation time migration is realized in an imaging ray coordinate system, and an accurate seismic imaging result is generated; two-dimensional plane hypothesis limitation is avoided, and high-precision imaging technical guarantee is provided for seismic data processing of a complex structure area.

The invention discloses a carbonate rock karst micro-landform recovery method and system, and the method comprises the steps: obtaining the uppermost and lowermost isochronous interfaces of a karst interface of a research region according to the seismic data and drilling data of the research region, and determining a longitudinal research range; a karst seismic interface and the development position of a main interface of an overlying stratum are obtained through a well seismic calibration technology; carrying out seismic reflection structure analysis on the basis of a karst seismic interface and a development position of a main interface of an overlying stratum to obtain a karst micro-landform description feasibility boundary; seismic waveform indication simulation is adopted to obtain the sand shale percentage content and the sand shale porosity of a drilled well, time-depth conversion and sandstone sea receding cycle top maximum porosity value tracking are carried out, and a karst micro-landform depiction calculation reference surface is obtained; and a reference surface is depicted and calculated based on the karst micro-landform, the thickness of the overlying stratum sand shale in the deposition period of the karst interface is obtained, karst micro-landform units are divided through gridding compilation and feature labeling, and a karst micro-landform map is obtained.

The invention provides a cluster horizontal well velocity modeling method based on a multi-well fitting velocity trend. The method comprises the following steps: performing fine well seismic calibration by using well location data, well logging data and seismic data; fitting is carried out by using the average speed of the fine well seismic calibration and the depth relation, and a fitted time-depth relation is obtained; establishing a stable speed trend body according to the fitted time-depth relationship; virtual wells are added between the cluster horizontal wells, and the fitted time-depth relation is calibrated; correcting the speed trend body by using the calibrated fitted time-depth relationship; and performing time-depth conversion on the time domain horizon and seismic data by using the corrected speed trend body, and checking the accuracy of the speed trend body. According to the method and the device, the establishment of the fine velocity model of the cluster horizontal well is effectively realized, a stable velocity trend body is established by utilizing a multi-well fitting relation method, and the mutual influence of the velocity of the cluster well is solved by utilizing a virtual well adding method.

The embodiment of the invention discloses an offshore wind plant stratum CPT data prediction method and device, and the method comprises the steps: carrying out the layering processing of sample stratum CPT data, and obtaining a CPT layering result; performing dynamic time-depth conversion processing on the sample seismic data to obtain depth domain profile data matched with a CPT layering result; searching and determining neighborhood seismic points corresponding to the CPT measurement points according to the depth domain profile data; constructing a training data set according to the target attribute data of the neighborhood seismic points, the depth data of the CPT measurement points in the sample stratum CPT data and the sample values of the CPT key parameters corresponding to the depth data, and training by using the training data set to obtain a prediction model; and performing stratum CPT data prediction processing of the target work area by using the prediction model and the depth domain seismic data of the target work area. Through the above mode, the stratum CPT data prediction of the offshore wind plant can be realized through the two-dimensional seismic section and a small amount of CPT data, and the stratum CPT data of the target work area can be efficiently and accurately predicted.

A kind of lightweight rock-soil mass deformation and motion monitoring system and method belong to geological disaster monitoring technical field.The technical scheme: image acquisition module acquires the image sequence of target area;Data storage and transmission module is used for image buffering and remote transmission;Data processing and analysis module includes point tracking unit, depth calculation and correction unit, coordinate conversion and displacement calculation unit, respectively for tracking the motion trajectory of pixel in image, calculate and correct the depth information of monitoring object, and convert depth into three-dimensional coordinate and calculate real displacement;Early warning and display module realizes the visualization of data and multi-stage alarm.Affirmative effect: the present application has the advantages of lightweight, low cost, convenient deployment etc., can realize the quantitative monitoring of rock-soil mass real displacement and motion, has good robustness and real-time performance, adapts to complex environment such as illumination change, camera slight shaking etc., can also resist the interference of rain, fog weather, shadow etc. to image features to a certain extent.

The invention relates to a multi-block processing data depth domain post-stack splicing method and device, a medium and equipment. The method comprises the following steps: acquiring original data of a plurality of work areas to be spliced; the original data comprises a depth domain achievement data body, a depth migration velocity body and a depth domain target interpretation horizon of each splicing work area; performing time-depth conversion on the depth domain result data volumes of the plurality of work areas to be spliced to obtain a time domain spliced seismic data volume; splicing the depth migration velocity bodies of the plurality of work areas to be spliced in combination with a depth domain target interpretation horizon to obtain a depth domain velocity body, and performing time-depth conversion to obtain a time domain average velocity; and performing time-depth conversion on the time domain spliced seismic data volume based on the time domain average speed to obtain a depth domain splicing result. According to the method, while the time and cost consumption of multi-block data reprocessing is avoided, the transverse change of the speed is fully considered, and the data requirement of target-level research that the speed obviously changes in the space can be met.

The invention provides a three-dimensional velocity model time-depth conversion method and device and a medium, and belongs to the field of geophysical exploration. The method comprises the following steps: step 100, inputting original velocity volume data and carrying out preprocessing; step 200, generating a three-dimensional velocity model; step 300, calculating travel time by a rapid travel method; step 400, calculating coordinate mapping by a windward finite difference method; and step 500, outputting travel time and a coordinate mapping result. According to the method, the velocity model is constructed, the seismic wave propagation travel time of each grid point is calculated by using the fast marching method, and the X, Y and Z coordinates of each measurement point on the seismic wave propagation path are further calculated by using the windward finite difference method, so that the calculation accuracy and efficiency of the seismic wave propagation path are improved; the method is suitable for seismic wave propagation simulation in a complex stratum environment, and provides reliable data support for geophysical exploration.

The application discloses a data fusion method for a multi-frequency ground penetrating radar, and belongs to the technical field of exploration geophysical data processing, which comprises the following steps: obtaining multi-frequency ground penetrating radar original data and performing data preprocessing to obtain preprocessed multi-frequency ground penetrating radar data; automatically determining depth conversion points for dividing dominant areas, transition areas and noise areas by calculating the variance change rate of high-frequency channel data along the depth direction; constructing a depth mask in accordance with the electromagnetic wave propagation and attenuation law according to the depth conversion points; inputting the preprocessed multi-frequency ground penetrating radar data and the depth mask into a fusion network constructed based on a Mamba state space model to perform forward reasoning to obtain a multi-frequency data fusion result; and the data fusion method for the multi-frequency ground penetrating radar is adopted to realize adaptive fusion of multi-frequency ground penetrating radar data, while significantly reducing the dependence on artificial subjectivity, and effectively balancing the high resolution of the shallow layer and the high signal-to-noise ratio of the deep layer.

The invention discloses an oil reservoir fracture identification method based on deep learning, and the method comprises the following steps: S1, receiving earthquake or underground imaging data, and carrying out the filtering, time-depth conversion and multi-scale wavelet denoising to generate a multi-scale feature body; s2, based on the feature body, constructing a crack characterization tensor containing a spatial gradient channel, an anisotropic channel, a trend sensitive channel and a similarity channel; s3, inputting the representation tensor into a cross-layer attention depth network to fuse high and low layer features, and outputting a crack probability graph and a trend tensor; s4, constructing a path graph based on the probability and the trend, and generating a crack master control path by using a graph neural network; s5, performing disturbance on the main control path to generate an anti-fact path; and S6, outputting a structured crack model containing crack trend, length, connectivity and density through comparative learning. According to the method, automatic identification and interpretable modeling of a complex oil reservoir fracture system are realized, and the fracture quantitative characterization precision is improved.

The application discloses a kind of test measuring rod underwater depth automatic positioning method and device, specifically relates to underwater detection technical field;By integrating pressure sensor, sonar ranging module and inertial navigation unit on measuring rod, in combination with the temperature-salinity-depth sensor data obtained in real time, dynamic correction pressure depth conversion result is generated high-precision target water depth value by data fusion, simultaneously, system utilizes inertial navigation information and target depth variation trend, using fuzzy logic control method, the real-time self-adapting adjustment of measuring rod posture and depth position is realized, the positioning precision and environmental adaptability of the method effectively improve underwater measuring rod in complex layered water body, with good practicality and innovation.

The present application belongs to the technical field of seismic exploration, and specifically discloses a ground seismic longitudinal and transverse wave three-domain matching method, an electronic device and a medium. The method first processes VSP data, and uses the VSP data to establish a VSP longitudinal and transverse wave velocity model with the same depth and different speeds; time-depth conversion is performed using the VSP longitudinal and transverse wave velocity model, the ground seismic time-domain result is converted to the depth domain, and ground seismic longitudinal and transverse wave depth domain matching is achieved; on the basis of the depth domain, the VSP longitudinal and transverse wave velocity model is used as the basis to achieve ground seismic longitudinal and transverse wave time domain matching; the processed VSP data is used to perform VSP same-depth band scanning, the matching band is determined, the ground seismic longitudinal and transverse waves are subjected to common resolution filtering processing, and longitudinal and transverse wave frequency matching is achieved. The present application develops local time window matching to overall multi-domain matching, greatly improves the longitudinal and transverse wave matching precision and effect, and lays a foundation for longitudinal and transverse wave joint interpretation.

The invention discloses a method, a device and equipment for evaluating the lateral oil and gas plugging capacity in the active period of a fault. The method comprises the steps of performing horizon interpretation and fault interpretation according to three-dimensional seismic data and drilled data of a research area; performing time-depth conversion on the obtained horizon data of the target reservoir and the fault data of the oil source fracture, and constructing a depth domain three-dimensional geologic model and a shale content model in combination with drilled data; obtaining an oil-gas accumulation period in the research area; obtaining a target oil source fracture matched with the time of the oil-gas accumulation period in the research area; calculating the paleo-burial depth of the target reservoir at each preset measuring point in the oil-gas accumulation period and the paleo-burial depth of the fault in the oil-gas accumulation period; reading the shale content of the target reservoir and the shale content of the fault at each preset measuring point; and comparing the calculated paleo-displacement pressure value of the fault at each preset measuring point with the paleo-displacement pressure value of the target reservoir, and determining the evaluation result of the fault active period lateral oil and gas plugging capacity at the corresponding preset measuring point.

This disclosure relates to an anisotropic seismic imaging method supporting the implementation of geothermal U-shaped wells. Through integrated seismic-geological-engineering evaluation, the method selects the U-shaped well area and layers, determines the locations of the two wells, the optimal geothermal target layer, and the trajectory of the horizontal well. Then, it employs multi-well controlled anisotropic migration imaging, iteratively updating to improve the depth-domain seismic imaging accuracy. This provides intuitive seismic guidance support for U-shaped well implementation without the need for time-depth conversion. Therefore, this method can scientifically determine the selection of geothermal U-shaped well areas and layers, achieving a seismic anisotropic imaging well seismic error of less than 1‰, supporting precise guidance. The seismic results support the establishment of a real-time large-scale model of U-shaped well operation, enabling dynamic monitoring based on big data. This invention can directly support geothermal resource exploration and development, and also provide early warning and backup solutions for potential engineering accidents, ensuring high-quality implementation of geothermal U-shaped wells and possessing good application and promotion prospects.

The invention discloses a high-enrichment natural gas hydrate favorable distribution area prediction method and related equipment, and the method comprises the steps: obtaining time domain seismic data of a target area, and carrying out the time-depth conversion of the time domain seismic data, and obtaining depth domain data; obtaining hydrate drilling well data and drilling gas sample data of the target area, and further obtaining a hydrate stability domain bottom boundary through function simulation; the sandy reservoir is identified based on the depth domain data, spatial superposition analysis is carried out in combination with the hydrate stability domain bottom boundary, and potential sandy hydrate spatial distribution is obtained through prediction; a key geological interface is identified based on depth domain data, and then potential leakage type hydrate distribution is predicted by combining analysis and comparison of crustal stress and gas phase total pressure. The method disclosed by the invention systematically reveals the spatial distribution rule of multiple types of hydrates, remarkably improves the comprehensiveness and accuracy of prediction, and can be widely applied to the technical field of hydrate prediction.

The application discloses a method and device for seismic-electromagnetic fusion inversion of saturation, electronic equipment and medium. The method comprises the following steps: time-depth conversion is performed on time-domain seismic data to obtain depth-domain seismic data; the depth-domain seismic data and depth-domain resistivity data are matched to obtain depth-domain resistivity data in a target data format; time-depth conversion is performed on the depth-domain resistivity data in the target data format to obtain time-domain resistivity data; target seismic wavelets are extracted from the time-domain seismic data; data conversion is performed on the time-domain resistivity data to obtain wave impedance data, and a wave impedance low-frequency model is determined according to the wave impedance data; seismic-electromagnetic fusion inversion is performed according to the target seismic wavelets and the wave impedance low-frequency model to obtain a seismic-electromagnetic fusion inversion result; and the seismic-electromagnetic fusion inversion result comprises hydrate saturation data. The application can predict more accurate hydrate saturation through fusion inversion of electromagnetic data and seismic data, and can be widely applied to the technical field of geophysical exploration.